The invention relates to an automatic classifying and identifying method of a road line point cloud based on three-dimensional laser reflection strength. The automatic classifying and identifying method comprises the following operation steps of acquiring point cloud data by utilizing a laser scanner, ...
The main objective of this work is to show what Natural Language Processing (NLP) and Machine Learning (ML) techniques used for representation of information and what classification algorithms are suitable for identifying and classifying relevant medical information in short texts. It acknowledges the ...
In differentiating the typical group from ASD children with and without ADHD using gaze-adjustment and significant spatial features (Table 3), the AdaBoost algorithm achieved a 17.5% lower accuracy rate than when classifying typical and ASD populations. Also, combining the gaze-adjustment features wit...
Fig. 2. Flowchart for classifying the four groups including HC, SZ, SAD and BPP using dynamic connectivity measures. We used the 10-fold cross validation with 100 runs to maximize the reliability. Within each run, feature selection was first performed only based on the training data (i.e. ...
Chauvinet al.[2]apply a background subtraction using a clear sky image to tackle the issue of misclassifying pixels in the circumsolar area. It sets a threshold to the difference ofNRBRbetween the original image and the clear sky image. The clear sky image is generated from the original im...
Respective picture elements on an approximate border line 15 of the object 1 at the time of the classifying work are, for example, the logic value '1', and other picture element is the logic value '0'. The approximate border line 15 can be shown as numeric data 16 of an (n) number...
In literature, the following four metrics are usually used to measure the success rates of this kind of classification from four different angles. They are: (1) overall accuracy or Acc, (2) Mathew's correlation coefficient or MCC, (3) sensitivity or Sn, and (4) specificity or Sp, as gi...
These include most statistical approaches used for classifying spectra. Such approaches depend on having some “ground truth” associated with the data. The spectra are then classified based on their statistical similarity to the ground truth. Methods such as Principle Component Analysis (PCA) are ...
comprises images from several points of view for each workpiece of the plural workpieces, providing a second data set of images comprising images for each workpiece from several pregiven alignment angles and providing a neural network having a feature extraction part (13) and a classifying part (...
A radar method of classifying generating or identifying helicopters, by generating a one-dimensional distance profile of the helicopter to be classified or to be identified by measuring the radar each of the helicopter fuselage, the radar echo of the rotor head of the main rotor and/or the ...